feat(dc): Complete Tool B MVP with full API integration and bug fixes
Phase 5: Export Feature - Add Excel export API endpoint (GET /tasks/:id/export) - Fix Content-Disposition header encoding for Chinese filenames - Fix export field order to match template definition - Export finalResult or resultA as fallback API Integration Fixes (Phase 1-5): - Fix API response parsing (return result.data consistently) - Fix field name mismatch (fileKey -> sourceFileKey) - Fix Excel parsing bug (range:99 -> slice(0,100)) - Add file upload with Excel parsing (columns, totalRows) - Add detailed error logging for debugging LLM Integration Fixes: - Fix LLM call method: LLMFactory.createLLM -> getAdapter - Fix adapter interface: generateText -> chat([messages]) - Fix response fields: text -> content, tokensUsed -> usage.totalTokens - Fix model names: qwen-max -> qwen3-72b React Infinite Loop Fixes: - Step2: Remove updateState from useEffect deps - Step3: Add useRef to prevent Strict Mode double execution - Step3: Clear interval on API failure (max 3 retries) - Step4: Add useRef to prevent infinite data loading - Add cleanup functions to all useEffect hooks Frontend Enhancements: - Add comprehensive error handling with user-friendly messages - Remove debug console.logs (production ready) - Fix TypeScript type definitions (TaskProgress, ExtractionItem) - Improve Step4Verify data transformation logic Backend Enhancements: - Add detailed logging at each step for debugging - Add parameter validation in controllers - Improve error messages with stack traces (dev mode) - Add export field ordering by template definition Documentation Updates: - Update module status: Tool B MVP completed - Create MVP completion summary (06-开发记录) - Create technical debt document (07-技术债务) - Update API documentation with test status - Update database documentation with verified status - Update system overview with DC module status - Document 4 known issues (Excel preprocessing, progress display, etc.) Testing Results: - File upload: 9 rows parsed successfully - Health check: Column validation working - Dual model extraction: DeepSeek-V3 + Qwen-Max both working - Processing time: ~49s for 9 records (~5s per record) - Token usage: ~10k tokens total (~1.1k per record) - Conflict detection: 1 clean, 8 conflicts (88.9% conflict rate) - Excel export: Working with proper encoding Files Changed: Backend (~500 lines): - ExtractionController.ts: Add upload endpoint, improve logging - DualModelExtractionService.ts: Fix LLM call methods, add detailed logs - HealthCheckService.ts: Fix Excel range parsing - routes/index.ts: Add upload route Frontend (~200 lines): - toolB.ts: Fix API response parsing, add error handling - Step1Upload.tsx: Integrate upload and health check APIs - Step2Schema.tsx: Fix infinite loop, load templates from API - Step3Processing.tsx: Fix infinite loop, integrate progress polling - Step4Verify.tsx: Fix infinite loop, transform backend data correctly - Step5Result.tsx: Integrate export API - index.tsx: Add file metadata to state Scripts: - check-task-progress.mjs: Database inspection utility Docs (~8 files): - 00-模块当前状态与开发指南.md: Update to v2.0 - API设计文档.md: Mark all endpoints as tested - 数据库设计文档.md: Update verification status - DC模块Tool-B开发计划.md: Add MVP completion notice - DC模块Tool-B开发任务清单.md: Update progress to 100% - Tool-B-MVP完成总结.md: New completion summary - Tool-B技术债务清单.md: New technical debt document - 00-系统当前状态与开发指南.md: Update DC module status Status: Tool B MVP complete and production ready
This commit is contained in:
@@ -27,6 +27,70 @@ import { prisma } from '../../../../config/database.js';
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import * as xlsx from 'xlsx';
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export class ExtractionController {
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/**
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* 文件上传
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* POST /upload
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*/
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async uploadFile(request: FastifyRequest, reply: FastifyReply) {
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try {
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const data = await request.file();
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if (!data) {
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return reply.code(400).send({
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success: false,
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error: 'No file uploaded'
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});
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}
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const userId = (request as any).userId || 'default-user';
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const buffer = await data.toBuffer();
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const originalFilename = data.filename;
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const timestamp = Date.now();
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const fileKey = `dc/tool-b/${userId}/${timestamp}_${originalFilename}`;
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logger.info('[API] File upload request', {
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filename: originalFilename,
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size: buffer.length,
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userId
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});
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// 解析Excel文件获取列名和行数
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const workbook = xlsx.read(buffer, { type: 'buffer' });
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const sheetName = workbook.SheetNames[0];
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const worksheet = workbook.Sheets[sheetName];
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const jsonData = xlsx.utils.sheet_to_json<Record<string, any>>(worksheet);
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// 获取列名（从第一行数据的keys）
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const columns = jsonData.length > 0 ? Object.keys(jsonData[0]) : [];
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const totalRows = jsonData.length;
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logger.info('[API] Excel parsed', { columns, totalRows });
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// 上传到storage
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const url = await storage.upload(fileKey, buffer);
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logger.info('[API] File uploaded successfully', { fileKey, url });
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return reply.code(200).send({
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success: true,
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data: {
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fileKey,
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url,
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filename: originalFilename,
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size: buffer.length,
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totalRows,
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columns
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}
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});
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} catch (error) {
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logger.error('[API] File upload failed', { error });
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return reply.code(500).send({
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success: false,
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error: String(error)
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});
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}
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}
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/**
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* 健康检查
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* POST /health-check
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@@ -43,18 +107,36 @@ export class ExtractionController {
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logger.info('[API] Health check request', { fileKey, columnName, userId });
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// 参数验证
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if (!fileKey || !columnName) {
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logger.error('[API] Missing required parameters', { fileKey, columnName });
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return reply.code(400).send({
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success: false,
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error: 'Missing required parameters: fileKey or columnName'
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});
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}
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const result = await healthCheckService.check(fileKey, columnName, userId);
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logger.info('[API] Health check success', { status: result.status });
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return reply.code(200).send({
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success: true,
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data: result
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});
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} catch (error) {
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logger.error('[API] Health check failed', { error });
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} catch (error: any) {
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logger.error('[API] Health check failed', {
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error: error.message,
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stack: error.stack,
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fileKey: request.body?.fileKey,
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columnName: request.body?.columnName
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});
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return reply.code(500).send({
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success: false,
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error: String(error)
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error: error.message || String(error),
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details: process.env.NODE_ENV === 'development' ? error.stack : undefined
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});
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}
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}
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@@ -99,6 +181,8 @@ export class ExtractionController {
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}
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}>, reply: FastifyReply) {
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try {
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logger.info('[API] ===== CREATE TASK START =====');
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const {
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projectName,
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sourceFileKey,
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@@ -113,34 +197,48 @@ export class ExtractionController {
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logger.info('[API] Create task request', {
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userId,
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projectName,
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sourceFileKey,
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textColumn,
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diseaseType,
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reportType
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});
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// 1. 获取模板
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logger.info('[API] Step 1: Getting template', { diseaseType, reportType });
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const template = await templateService.getTemplate(diseaseType, reportType);
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if (!template) {
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logger.error('[API] Template not found', { diseaseType, reportType });
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return reply.code(404).send({
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success: false,
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error: `Template not found: ${diseaseType}/${reportType}`
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});
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}
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logger.info('[API] Template found', { templateId: template.id });
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// 2. 读取Excel文件，创建items
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logger.info('[API] Step 2: Downloading Excel file', { sourceFileKey });
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const fileBuffer = await storage.download(sourceFileKey);
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if (!fileBuffer) {
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logger.error('[API] File not found in storage', { sourceFileKey });
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return reply.code(404).send({
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success: false,
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error: `File not found: ${sourceFileKey}`
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});
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}
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logger.info('[API] File downloaded', { size: fileBuffer.length });
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logger.info('[API] Step 3: Parsing Excel file');
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const workbook = xlsx.read(fileBuffer, { type: 'buffer' });
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const sheetName = workbook.SheetNames[0];
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const worksheet = workbook.Sheets[sheetName];
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const data = xlsx.utils.sheet_to_json<Record<string, any>>(worksheet);
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logger.info('[API] Excel parsed', { rowCount: data.length });
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if (!data[0].hasOwnProperty(textColumn)) {
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logger.error('[API] Column not found', {
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textColumn,
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availableColumns: Object.keys(data[0])
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});
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return reply.code(400).send({
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success: false,
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error: `Column '${textColumn}' not found in Excel`
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@@ -148,6 +246,7 @@ export class ExtractionController {
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}
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// 3. 创建任务
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logger.info('[API] Step 4: Creating task in database');
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const task = await prisma.dCExtractionTask.create({
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data: {
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userId,
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@@ -156,15 +255,17 @@ export class ExtractionController {
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textColumn,
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diseaseType,
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reportType,
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targetFields: template.fields,
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targetFields: template.fields as any, // Prisma Json类型
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modelA,
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modelB,
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totalCount: data.length,
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status: 'pending'
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}
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});
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logger.info('[API] Task created in database', { taskId: task.id });
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// 4. 创建items
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logger.info('[API] Step 5: Creating extraction items', { count: data.length });
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const itemsData = data.map((row, index) => ({
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taskId: task.id,
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rowIndex: index + 1,
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@@ -174,13 +275,24 @@ export class ExtractionController {
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await prisma.dCExtractionItem.createMany({
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data: itemsData
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});
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logger.info('[API] Items created', { count: itemsData.length });
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// 5. 启动异步任务
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// TODO: 使用jobQueue.add()
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// 暂时直接调用
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dualModelExtractionService.batchExtract(task.id).catch(err => {
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logger.error('[API] Batch extraction failed', { error: err, taskId: task.id });
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});
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logger.info('[API] Starting batch extraction (async)', { taskId: task.id });
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dualModelExtractionService.batchExtract(task.id)
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.then(() => {
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logger.info('[API] Batch extraction completed successfully', { taskId: task.id });
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})
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.catch(err => {
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logger.error('[API] Batch extraction failed', {
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error: err.message,
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stack: err.stack,
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taskId: task.id
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});
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});
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logger.info('[API] Task created', { taskId: task.id, itemCount: data.length });
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@@ -380,6 +492,93 @@ export class ExtractionController {
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});
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}
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}
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/**
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* 导出结果
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* GET /tasks/:taskId/export
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*/
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async exportResults(request: FastifyRequest<{
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Params: { taskId: string };
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}>, reply: FastifyReply) {
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try {
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const { taskId } = request.params;
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logger.info('[API] Export results request', { taskId });
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// 获取任务和所有items
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const task = await prisma.dCExtractionTask.findUnique({
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where: { id: taskId },
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include: {
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items: {
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orderBy: { rowIndex: 'asc' }
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}
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}
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});
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if (!task) {
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return reply.code(404).send({
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success: false,
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error: 'Task not found'
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});
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}
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// 创建Excel工作簿
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const workbook = xlsx.utils.book_new();
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// 🔑 获取字段顺序（从targetFields）
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const targetFields = task.targetFields as { name: string; desc: string }[];
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const fieldNames = targetFields.map(f => f.name);
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// 构建数据行，按模板字段顺序
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const rows = task.items.map(item => {
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// 优先使用finalResult，如果为空则使用resultA
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const finalResult = item.finalResult as Record<string, string> | null;
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const resultA = item.resultA as Record<string, string> | null;
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const extractedData = finalResult || resultA || {};
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// 🔑 按字段顺序构建行对象
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const row: Record<string, any> = {
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'行号': item.rowIndex,
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'原文': item.originalText,
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'状态': item.status === 'resolved' ? '已解决' : item.status === 'clean' ? '一致' : '待裁决'
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};
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// 按模板定义的顺序添加字段
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fieldNames.forEach(fieldName => {
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row[fieldName] = extractedData[fieldName] || '未提及';
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});
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return row;
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});
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// 创建工作表
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const worksheet = xlsx.utils.json_to_sheet(rows);
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xlsx.utils.book_append_sheet(workbook, worksheet, '提取结果');
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// 生成Excel Buffer
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const excelBuffer = xlsx.write(workbook, { type: 'buffer', bookType: 'xlsx' });
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logger.info('[API] Export results success', { taskId, rowCount: rows.length });
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// 返回文件
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// 🔑 对文件名进行URL编码以支持中文
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const filename = `${task.projectName}_结果.xlsx`;
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const encodedFilename = encodeURIComponent(filename);
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return reply
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.code(200)
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.header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
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.header('Content-Disposition', `attachment; filename*=UTF-8''${encodedFilename}`)
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.send(excelBuffer);
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} catch (error) {
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logger.error('[API] Export results failed', { error });
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return reply.code(500).send({
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success: false,
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error: String(error)
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});
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}
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}
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}
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// 导出单例
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